A transition between volume- and area-law entanglement occurs in row states evolved under transfer matrices of translation-invariant tensor networks, with a dense ring spectrum in the volume-law phase and a dominant eigenvalue in the area-law phase.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
quant-ph 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Adapts shadow tomography to tensor networks for O(1) scaling in long-range Hamiltonian expectations and stable variational gradients on classical computers.
citing papers explorer
-
Entanglement transitions in translation-invariant tensor networks
A transition between volume- and area-law entanglement occurs in row states evolved under transfer matrices of translation-invariant tensor networks, with a dense ring spectrum in the volume-law phase and a dominant eigenvalue in the area-law phase.
-
Shadow tomography for classical tensor network simulations
Adapts shadow tomography to tensor networks for O(1) scaling in long-range Hamiltonian expectations and stable variational gradients on classical computers.